An Expert System for Automatic Classification of Sound Signals

• Autorzy: Tyburek Krzysztof , Kotlarz Piotr

Identyfikatory

DOI

10.26636/jtit.2020.143220

• Języki publikacji: EN

Abstrakty

EN

In this paper, we present the results of research focusing on methods for recognition/classification of audio signals. We consider the results of the research project to serve as a basis for the main module of a hybrid expert system currently under development. In our earlier studies, we conducted research on the effectiveness of three classifiers: fuzzy classifier, neural classifier and WEKA system for reference data. In this project, a particular emphasis was placed on fine-tuning the fuzzy classifier model and on identifying neural classifier applications, taking into account new neural networks that we have not studied so far in connection with sounds classification methods.

Słowa kluczowe

EN

audio descriptors; bird species; fuzzy classification of audio signals; MPEG-7; spectral features of sound

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2020
• Tom: nr 2
• Strony: 86--90
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Tyburek Krzysztof

• Institute of Computer Science, Kazimierz Wielki University, Kopernika 1, 85-074 Bydgoszcz, Poland

autor

Kotlarz Piotr

• Institute of Computer Science, Kazimierz Wielki University, Kopernika 1, 85-074 Bydgoszcz, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).